E-LIB Suche - Ergebnisse für: Tulupyev, A.

1

Algebraic Bayesian Networks: Checking Backbone Connectivity:

Maksimov, A. G. ; Tulupyev, A. L.
Vestnik St. Petersburg University, Mathematics. 54 (2021) 2 - p. 187-195 , 2021

Link: https://doi.org/10.1134/..

2

Algebraic Bayesian Networks: Empirical Estimates of the Sen..:

, In: 2020 XXIII International Conference on Soft Computing and Measurements (SCM),

Zavalishin, A. D. ; Tulupyev, A. L. ; Maksimov, A. G. - p. 31-33 , 2020

Link: https://doi.org/10.1109/..

3

Algebraic Bayesian Networks: the Complexity of Consistency ..:

, In: 2020 XXIII International Conference on Soft Computing and Measurements (SCM),

Maksimov, A. G. ; Tulupyev, A. L. ; Zavalishin, A. D. - p. 34-36 , 2020

Link: https://doi.org/10.1109/..

4

Employees' Social Graph Analysis: A Model of Detection the ..:

, In: Advances in Intelligent Systems and Computing; Proceedings of the Fourth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'19),

Khlobystova, A. ; Abramov, M. ; Tulupyev, A. - p. 198-205 , 2020

Link: https://doi.org/10.1007/..

5

Sensitivity Statistical Estimates for Local A Posteriori In..:

Zolotin, A. A. ; Tulupyev, A. L.
Vestnik St. Petersburg University, Mathematics. 51 (2018) 1 - p. 42-48 , 2018

Link: https://doi.org/10.3103/..

6

Features of Social Networking in Reaching Professional Goal..:

Bordovskaia, N.V. ; Tulupyeva, T.V. ; Tulupyev, A.L..
Психологическая наука и образование; Psychological Science and Education. 21 (2016) 4 - p. 32-39 , 2016

Link: https://doi.org/10.17759..

7

Matrix equations for normalizing factors in local a posteri..:

Tulupyev, A. L. ; Sirotkin, A. V. ; Zolotin, A. A.
Vestnik St. Petersburg University: Mathematics. 48 (2015) 3 - p. 168-174 , 2015

Link: https://doi.org/10.3103/..

8

Coincidence of the sets of minimal and irreducible join gra..:

Filchenkov, A. A. ; Tulupyev, A. L.
Vestnik St. Petersburg University: Mathematics. 45 (2012) 2 - p. 106-113 , 2012

Link: https://doi.org/10.3103/..

9

Assessment of the Vine–Copula for the Gamma Poisson Model o..:

, In: Artificial Intelligence in Models, Methods and Applications; Studies in Systems, Decision and Control,

Stoliarova, Valerie ; Tulupyev, Alexander - p. 97-108 , 2023

Link: https://doi.org/10.1007/..

10

Statistical Comparison of the Running Times of Global Poste..:

, In: 2023 XXVI International Conference on Soft Computing and Measurements (SCM),

Vyatkin, Artyom A. ; Tulupyev, Alexander L. - p. 24-28 , 2023

Link: https://doi.org/10.1109/..

11

Algebraic Bayesian Networks: The Generation of the Network ..:

, In: Proceedings of the Seventh International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'23); Lecture Notes in Networks and Systems,

Kharitonov, Nikita ; Vyatkin, Artyom ; Tulupyev, Alexander - p. 13-22 , 2023

Link: https://doi.org/10.1007/..

12

Cumulative Mean Function of Public Posting Episodes in the ..:

, In: 2022 XXV International Conference on Soft Computing and Measurements (SCM),

Stoliarova, Valeriya F. ; Tulupyev, Aleksandr L. - p. 25-27 , 2022

Link: https://doi.org/10.1109/..

13

Probabilistic Graphical Models with Continuous Variables fo..:

, In: Proceedings of the Sixth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'22); Lecture Notes in Networks and Systems,

Stoliarova, Valerie ; Tulupyev, Alexander - p. 465-474 , 2022

Link: https://doi.org/10.1007/..

14

BERT and ELMo in Task of Classifying Social Media Users Pos..:

, In: Proceedings of the Sixth International Scientific Conference "Intelligent Information Technologies for Industry" (IITI'22); Lecture Notes in Networks and Systems,

Oliseenko, Valerii D. ; Eirich, Michael ; Tulupyev, Alexander L.. - p. 475-486 , 2022

Link: https://doi.org/10.1007/..

15

Identification of Deterioration caused by AHF, MADS or CE b..:

Aleksanin, Sergei ; Korepanova, Anastasia ; Tulupyev, Alexander..
Informatics and Automation; Информатика и автоматизация. 21 (2022) 2 - p. 311-338 , 2022

Link: https://doi.org/10.15622..